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SYBR Green-activated sorting of Arabidopsis pollen nuclei based on different DNA/RNA content

Overview of attention for article published in Plant Reproduction, February 2015
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Title
SYBR Green-activated sorting of Arabidopsis pollen nuclei based on different DNA/RNA content
Published in
Plant Reproduction, February 2015
DOI 10.1007/s00497-015-0258-2
Pubmed ID
Authors

Vera K. Schoft, Nina Chumak, János Bindics, Lucyna Slusarz, David Twell, Claudia Köhler, Hisashi Tamaru

Abstract

Purification of pollen nuclei. Germ cell epigenetics is a critical topic in plants and animals. The male gametophyte (pollen) of flowering plants is an attractive model to study genetic and epigenetic reprogramming during sexual reproduction, being composed of only two sperm cells contained within, its companion, vegetative cell. Here, we describe a simple and efficient method to purify SYBR Green-stained sperm and vegetative cell nuclei of Arabidopsis thaliana pollen using fluorescence-activated cell sorting to analyze chromatin and RNA profiles. The method obviates generating transgenic lines expressing cell-type-specific fluorescence reporters and facilitates functional genomic analysis of various mutant lines and accessions. We evaluate the purity and quality of the sorted pollen nuclei and analyze the technique's molecular basis. Our results show that both DNA and RNA contents contribute to SYBR Green-activated nucleus sorting and RNA content differences impact on the separation of sperm and vegetative cell nuclei. We demonstrate the power of the approach by sorting wild-type and polyploid mutant sperm and vegetative cell nuclei from mitotic and meiotic mutants, which is not feasible using cell-type-specific transgenic reporters. Our approach should be applicable to pollen nuclei of crop plants and possibly to cell/nucleus types and cell cycle phases of different species containing substantially different amounts of DNA and/or RNA.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Student > Ph. D. Student 9 21%
Student > Master 4 10%
Student > Bachelor 3 7%
Professor 2 5%
Other 6 14%
Unknown 8 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 45%
Biochemistry, Genetics and Molecular Biology 10 24%
Nursing and Health Professions 2 5%
Environmental Science 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 8 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 February 2015.
All research outputs
#20,260,958
of 22,790,780 outputs
Outputs from Plant Reproduction
#151
of 176 outputs
Outputs of similar age
#301,959
of 358,526 outputs
Outputs of similar age from Plant Reproduction
#2
of 3 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 176 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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